Question 3. On page 112, Section L 1.1.2.1, should the offer account for supporting Airworthiness in the response, or can we assume this will be handled by a Third Party?
Question 3. We believe that the issue of protection of Appellations of Origin against its use in non identical or similar products should be overcome by creating two different levels of protection of the AO, corresponding to a two-pronged definition of them based on their degree of prestige. We understand that the provisions of the Portuguese legislation may once again serve as an example and a basis for discussion, so we transcribed the relevant article: Article 312º, paragraph 4: “Likewise prohibited is the use of a AO or geographic indication of prestige in Portugal or the European Union for products without identity or affinity, whenever the use thereof seeks to unjustly derive benefit from the distinctive or prestigious character of the previously registered AO or geographic indication or can be prejudicial to them”. We therefore advocate the establishment of a distinction between "ordinary" Appellations of Origin and prestige Appellations of Origin; we consider that different protection of the AO should be granted on the basis of the “prestige criteria”, i.e., the “ordinary AO” should be protected only against its use on identical products or of the same type, while the “prestige Appellations of Origin” should be protected against its use on every type of product.
Question 3. What tricks did the young children do? Answer Pre-Intervention Answer Post-Intervention Student A The skip They jump roped. Student B They did spinning. The young children skipped with the rope.
Question 3. Information and agreement time We performed extensive numerical simulations in order to explore the impact of inaccurate information on agreement time. We studied the SMV process on two types of interaction networks, complete and scale-free networks. The complete network is the simplest interaction relation and represents a situation where everyone can talk to everyone else. Agreement occurs very quickly in the complete case. Scale-free networks are described in Section 3.6.1 and are a very important network that occur often in “real-world” data sets. Figures 4.16 and 4.15 display sampling fraction versus time till agreement (TTA) for the complete graph case with N = 1000, 5000, 10000. We consider agreement to have taken place when 90% of the population is in the same state – this is a measure that is used in [Xxxxxxx, 2002] as well. For each value of θ we performed 10 runs and averaged the results. Each run is comprised of a finite 0.9 f0 0.8 0.6 0.5 Sampling Fraction vs. f0 vs. P(Success) for k=16 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 Sampling Fraction 0.9 0.8 0.7 0.6 0.5 0.4 0.3
Question 3. Is the Selling Shareholder a broker dealer and/or member of the Financial Industry Regulatory Authority (“FINRA”) or a broker dealer’s affiliate and/or member of FINRA? Yes ___ No ___ If a Selling Shareholder is a broker dealer and/or member of the FINRA, please indicate whether the Selling Shareholder acquired its securities as compensation for underwriting activities or investment purposes. Yes ___ No ___ If a Selling Shareholder is an affiliate of a broker dealer and/or member of the FINRA, please indicate whether this broker dealer’s affiliate: purchased the securities to be resold in the ordinary course of business; and had no agreements or understandings, directly or indirectly, with any person to distribute the securities at the time of their purchase. Yes ___ No ___ Is any member of your Immediate Family (by blood, marriage or adoption) a member of the FINRA. Yes ___ No ___ If you marked “Yes” to any of the questions above, please briefly describe the facts below, giving the names of the broker dealer and/or member of the FINRA to which your answer refers (including, for example, percentage of ownership, amount of loan and interest payable, applicable dates, names of Affiliates, family, etc).
Question 3. Information and agreement time We performed extensive numerical simulations in order to explore the impact of inaccurate information on agreement time. We studied the SMV process on two types of interaction networks, complete and scale-free networks. The complete network is the simplest interaction relation and represents a situation where everyone can talk to everyone else. Agreement occurs very quickly in the complete case. Scale-free networks are described in Section 3.6.1 and are a very important network that occur often in “real-world” data sets. Figures 4.16 and 4.15 display sampling fraction versus time till agreement (TTA) for the complete graph case with N = 1000, 5000, 10000. We consider agreement to have taken place when 90% of the population is in the same state – this is a measure that is used in [Xxxxxxx, 2002] as well. For each value of θ we performed 10 runs and averaged the results. Each run is comprised of a finite 1.1 0.9 f0 0.8 0.6 0.5 Sampling Fraction vs. f0 vs. P(Success) for k=16 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 Sampling Fraction 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 Figure 4.14: m (shown as the sampling fraction) vs. f0 vs. P (Success)(color) for k = 16. number of time steps. In the complete graph case there were 50, 000 time steps and in the scale free graph case there were 1, 000, 000 time steps. Each time step (or iteration) corresponds to one execution of the SMV process described in Section 4.4.2. At the start of each run a new graph was generated and all agents in the population were uniformly randomly initialized to 0 or 1. For each run we calculated the first time step at which 90% of the population was in the same state – this time step is considered the time till agreement for this run. We averaged over 10 runs to get the results shown in the figures. The error bars indicate one standard deviation. We used the Extended Barabasi-Xxxxxx scale free generation algorithm (described in Section A.1) to generate the scale free network. The parameters used were m0 = 4, m = 2, p = q = 0.4. The coefficient of the degree distribution in this case will be approximately 2.5 (see [Xxxxxxx, 2002]). This exponent is close to the exponent of several real world networks, such as the World-Wide Web and the telephone call graph [Strogatz, 2001]. In the figures we have excluded the results for θ = 0.0 because it corresponds to the voter model situation, for which numerous results are known. SF vs. T90%. N=1000,5000,10000 140000 Time to 90% conv...
Question 3 if you think there is a role for H2 in Transport – what type of vehicle was it most likely to be used in? 15
Question 3 if you think there is a role for H2 in Transport – what type of vehicle was it most likely to be used in? The answers in this section provided a range of views that were distributed in a skewed xxxx curve from very limited application to very broad application of Hydrogen technology. We have therefore presented some sample comments in this way (see next page). It should be noted that none of the interviewees who answered this question saw absolutely no application for Hydrogen technology in transport while a very few saw the application across all transport modes. < Deliverable 3.8 –Clean Hydrogen In Europe Cities> Broader Application Application to all Transport modes Very Limited Application Niche Application Buses may have a role for H2 but it’s a tiny segment of transport H2FC have niche in fleet arrangements for long distance H2 has potential as an energy carrier in all areas of transport / stationary. All types of vehicles requiring a certain range would be suitable for H2 power. Only in vehicles that are necessary (taxis for disabled/buses/ trains) Bigger and longer range cars (numerous similar comments) Most like to be a niche player (where costs can be amortised over a long time). Fleets & Buses are a possibility in this sense. Buses and trucks will first go down the hybrid line/CNG/duel fuel (diesel methanol etc). Larger vehicles driving long distances; fleets Buses have easier Infrastructure solutions. Probably should be focussed on "What we can do best" - and buses may be an example of this; fleet cars maybe. Trucks likely to stay on fossil/bio fuels into the foreseeable future For medium-long range vehicles / Passenger cars (e.g. Honda) Light trucks Small to middle size vehicles will be full electric or hybrid powertrain Niche area in larger vehicles (trucks/ tractors/ buses (numerous similar comments) Buses, light commercials & cars. Doubt the big OEM's would still be continuing with cars if they didn’t see a future. Possible use in buses, trains, not planes (storage too great a problem); maybe lorries; NOT cars SAMPLE COMMENTS FROM INTERVIEWEES
Question 3. If you plan to offer your shares of Common Stock through the selling efforts of brokers or dealers, describe the terms (and attach copies) of any agreement, arrangement, or understanding entered into with broker(s) or dealer(s), including volume limitations on sales, parties to the agreement and the conditions under which the agreement may be terminated. If known, identify the broker(s) or dealer(s), which will participate in the offering and state the amount to be offered through each.
Question 3. 3: When a serving cell use inter-cell mTRP, can the UE be configured with two BFD RS sets? If yes, please explain if there is any relation between a BFD RS set and a PCI (e.g. one set associated with RS of this serving cell and another associated with RS associated with an additional PCI).
